Dashboard Design For Trials
by @aipoch-ai
Design dashboard layout sketches for clinical trials showing enrollment progress and adverse event rates
clawhub install dashboard-design-for-trialsπ About This Skill
name: dashboard-design-for-trials description: Design dashboard layout sketches for clinical trials showing enrollment progress and adverse event rates version: 1.0.0 category: Visual tags: [] author: AIPOCH license: MIT status: Draft risk_level: Medium skill_type: Tool/Script owner: AIPOCH reviewer: '' last_updated: '2026-02-06'
Dashboard Design for Trials
Design layout sketches for clinical trial data monitoring panels, displaying recruitment progress, AE incidence rates, and other key metrics.
Features
Usage
python scripts/main.py [options]
Parameters
| Parameter | Type | Default | Required | Description |
|-----------|------|---------|----------|-------------|
| --study-id | string | STUDY-001 | No | Study ID |
| --study-name | string | Clinical Trial A | No | Study Name |
| --sites | int | 10 | No | Number of sites |
| --target-enrollment | int | 100 | No | Target enrollment count |
| --current-enrollment | int | 45 | No | Current enrollment count |
| --ae-count | int | 12 | No | Adverse event count |
| --output | string | dashboard.html | No | Output HTML file path |
Examples
# Generate default Dashboard
python scripts/main.pyCustomize study parameters
python scripts/main.py \
--study-id "PHASE-III-2024" \
--study-name "Phase III Clinical Trial of New Drug for Type 2 Diabetes" \
--sites 15 \
--target-enrollment 300 \
--current-enrollment 120 \
--ae-count 25 \
--output my_dashboard.html
Output
Generates an HTML Dashboard containing the following modules:
1. Study Overview Card - Study ID, name, status 2. Recruitment Progress - Overall progress bar, site-by-site progress comparison 3. Subject Distribution - Gender, age distribution pie charts 4. AE Monitoring - Adverse event incidence rate, severity distribution 5. Data Quality - CRF completion rate, query count 6. Timeline - Study milestones, estimated completion date
Dependencies
Author
Skill ID: 194
Risk Assessment
| Risk Indicator | Assessment | Level | |----------------|------------|-------| | Code Execution | Python/R scripts executed locally | Medium | | Network Access | No external API calls | Low | | File System Access | Read input files, write output files | Medium | | Instruction Tampering | Standard prompt guidelines | Low | | Data Exposure | Output files saved to workspace | Low |
Security Checklist
Prerequisites
No additional Python packages required.
Evaluation Criteria
Success Metrics
Test Cases
1. Basic Functionality: Standard input β Expected output 2. Edge Case: Invalid input β Graceful error handling 3. Performance: Large dataset β Acceptable processing timeLifecycle Status
π‘ Examples
# Generate default Dashboard
python scripts/main.pyCustomize study parameters
python scripts/main.py \
--study-id "PHASE-III-2024" \
--study-name "Phase III Clinical Trial of New Drug for Type 2 Diabetes" \
--sites 15 \
--target-enrollment 300 \
--current-enrollment 120 \
--ae-count 25 \
--output my_dashboard.html
βοΈ Configuration
No additional Python packages required.